A Survey on Tumor Node Detection in PET/CT image based on Image Fusion
Keywords:
Tumor, Image Fusion, Discrete Wavelet Transforms (DWT), Positron Emission Tomography (PET), Computed Tomography (CT)Abstract
To enhance the spatial and spectral resolution from several low resolution images, image fusion is required. Image fusion based on Discrete Wavelet Transforms (DWT) is one of the superior methods because it is a multi resolution approach, it allows image decomposition in different kinds of coefficients and provides directional information. DWT based fusion methods and Haar wavelet based fusion method are used in literature when compared to pixel averaging method, select maximum and minimum method. In the present work, contourlet transform and neural networks are integrated to exploit the classification capabilities of neural networks to fuse PET and CT image. The fused images of the proposed method are more complete with minimum distortion and eliminate most of the visual artifacts.
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